关键词: 系统级故障诊断, 方程模型, 贝壳漫步算法, 贝壳漫步诊断（MWOFD）算法

Abstract: In order to diagnose the fault units in the system, this paper firstly uses the Mussels Wandering Optimization algorithm to solve the system-level fault diagnosis problem, proposes an efficient fault diagnosis algorithm—the Mussels Wandering Optimization Fault Diagnosis（MWOFD）. Combining with the characteristics of system-level fault diagnosis it proposes the Mussels Wandering encoding and initialization, and designs the new fitness function according to equation constraint conditions that the diagnostic model has to meet, at the same time it optimizes the existing binary mapping algorithm. Finally, the new algorithm is compared with AD-FAFD algorithm, FAFD algorithm and EAFD algorithm experimentally. Experimental results show that MWOFD algorithm improves the diagnostic accuracy and efficiency of diagnosis effectively.

Key words: system-level fault diagnosis, equation model, mussels wandering optimization algorithm, Mussels Wandering Optimization Fault Diagnosis（MWOFD） algorithm